The Ecole Normale Supérieure (ENS Paris) invites applications for a Junior Research and Teaching Laplace chair in data science at the postdoctoral level, funded by CFM (Capital Fund Management) and the ENS. The chair is named after Pierre-Simon, marquis de Laplace, who between many accomplishments, was one of the early founders of statistical inference and data science.
The Laplace chair aims at recruiting outstanding candidates in all areas of data sciences including theoretical statistics, machine learning, optimization, signal processing, computer science, applied mathematics and statistical physics, or working on applications to other sciences such as physics, biology, medicine or social sciences and economics.
Appointments will be for two years with a possible extension for a third year. Salary is competitive and the positions are endowed with travel resources.
The successful candidate will carry out research in ENS, with reduced teaching duties which will be adapted. Applications should consist of a single file and be send before January 31th, 2020 by email to email@example.com.
More information about the scientific environnement of this program can be found on the webpage of the Data Science Chair of the ENS at https://data-ens.github.io.
Short-listed candidates will be invited for an interview (video conference) in February 2020.